About this issue Abstract This paper generalises four types of disturbance commonly used in univariate time series analysis to the multivariate case, highlights the differences between univariate and ...

A time series is a sequence of measurements performed at successive points in time. Time series can be used to derive models to predict future values based on previously observed values. Bao and ...

This is a valuable study on how past sensory experiences shape perception across multiple time scales. Using a behavioural task and reanalysed EEG data, the authors identify two unifying mechanisms ...

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.